Model Comparison

Codestral-22B vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

Comparing Codestral-22B and Mistral Large 3 (675B Instruct 2512 NVFP4) across benchmarks, pricing, and capabilities.

Verdict: Codestral-22B vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

Codestral-22B (by Mistral AI) and Mistral Large 3 (675B Instruct 2512 NVFP4) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Codestral-22B if…

  • you are already invested in the Mistral AI ecosystem

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Mistral Large 3 (675B Instruct 2512 NVFP4)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

652.8B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 652.8B more parameters than Codestral-22B, making it 2940.5% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
22.2B
Codestral-22B
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Codestral-22B does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 18 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

6 months ago

1.5yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Supports multimodal inputs

Detailed Comparison

FAQ

Common questions about Codestral-22B vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Codestral-22B or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Codestral-22B (Mistral AI) and Mistral Large 3 (675B Instruct 2512 NVFP4) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the main differences between Codestral-22B and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.